Star200+

Rapport d’audit du skill

ai-assist-git-pr-review Rapport d’audit.

Perform a standards-based code review on a GitHub Pull Request, then post the findings as inline review comments and mark the PR as 'Requested changes'. Reads all of the agents files that exist in the repository under review (AGENTS.md, .agents-docs/, CLAUDE.md on the PR's base branch) — the repo's full documented standards, not just any agents files the PR happens to change — checks the diff against them plus general best practices, and gates every write behind explicit approval. Use this skill whenever the user wants to code-review a PR, review a pull request, check a PR against standards, request changes on a PR, or gives you a GitHub PR link and asks for a review. Also triggers on: 'review this PR', 'code review', 'review PR', 'check this pull request', 'request changes', 'review against our standards', or a bare github.com/.../pull/<n> URL with review intent. This is a review-only skill — it never approves, merges, closes, or pushes code.

Bloqué · BloquerRevue nécessaireGénéré 23 août 2026Audit heuristique des métadonnées
70
Audit
62
Confiance
61
Qualité
63
Sécurité
100
Maintain
92
Installer

Trust Score OpenAgentSkill

62
Revue manuelle

Trust Score OpenAgentSkill

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

Adoption GitHub

Avertissement

48

88 stars GitHub

Activité stars/forks

Avertissement

48

88 stars et 12 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles

Maintenance récente

Validé

100

Mis à jour aujourd’hui

Clarté de licence

Avertissement

42

Inconnu

Complétude README/SKILL.md

Validé

86

Les métadonnées incluent suffisamment de contexte d’usage et de workflow

Risque dépendances/runtime

Échoué

38

command execution surface, credential or environment access

Disponibilité de l’installation

Validé

92

npx skills add jparkerweb/ai-assist-skills --skill ai-assist-git-pr-review

Sécurité de la commande d’installation

Validé

92

Chemin d’installation standard de package ou runtime

Surface de permissions

Échoué

18

secrets or environment access, shell or command execution

Preuve du dépôt

Validé

86

https://github.com/jparkerweb/ai-assist-skills/tree/main/skills/ai-assist-git-pr-review

État de revue

Info

66

Données de revue IA disponibles

Résultats prouvés par Agent

Info

54

Pas encore de données de résultats Agent

Vérifications

Revue d’installation et d’adoption

5 Validé · 16 Revue nécessaire

Chemin d’installation

92

Validé

npx skills add jparkerweb/ai-assist-skills --skill ai-assist-git-pr-review

Dépôt

88

Validé

https://github.com/jparkerweb/ai-assist-skills/tree/main/skills/ai-assist-git-pr-review

Licence

45

Vérifier

Inconnu

Maintenance

100

Validé

Mis à jour aujourd’hui

Revue IA

55

Vérifier

Repository license is unknown; clarify licensing for the skill.

Complétude README/SKILL.md

86

Validé

Usable description available

Risque de dépendances

38

Corriger

command execution surface, credential or environment access

Sécurité de la commande d’installation

92

Validé

Chemin d’installation standard de package ou runtime

Surface de permissions

18

Corriger

secrets or environment access, shell or command execution

Activité stars/forks

48

Corriger

88 stars et 12 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles

Adoption

68

Info

88 stars GitHub

Avertissements

  • La licence est ambiguë
  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Repository license is unknown; clarify licensing for the skill.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 88 GitHub stars
  • Stars/forks activity: 88 stars, 12 forks; issue activity unavailable in current metadata
  • License clarity: Unknown
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution

Méthode

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

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